Автоматична генерація онтологій на основі статей українською мовою

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dc.contributor.authorЖежерун, Олександр
dc.contributor.authorРєпкін, Максим
dc.date.accessioned2023-03-30T13:45:23Z
dc.date.available2023-03-30T13:45:23Z
dc.date.issued2022
dc.descriptionThe article presents a system capable of generating new ontologies or supplementing existing ones based on articles in Ukrainian. Ontologies are described and an algorithm suitable for automated concept extraction from natural language texts is presented. Ontology as a technology has become an increasingly important topic in contemporary research. Since the creation of the Semantic Web, ontology has become a solution to many problems of understanding natural language by computers. If an ontology existed and was used to analyze documents, then we would have systems that could answer very complex queries in natural language. Google’s success showed that loading HTML pages is much easier than marking everything with semantic markup, wasting human intellectual resources. To find a solution to this problem, a new direction in the ontological field, called ontological engineering, has appeared. This direction began to study ways of automating the generation of knowledge, which would be consolidated by an ontology from the text. Humanity generates more data every day than yesterday. One of the main levers today in the choice of technologies for the implementation of new projects is whether it can cope with this flow of data, which will increase every day. Because of this, some technologies come to the fore, such as machine learning, while others recede to the periphery, due to the impossibility or lack of time to adapt to modern needs, as happened with ontologies. The main reason for the decrease in the popularity of ontologies was the need to hire experts for its construction and the lack of methods for automated construction of ontologies. This article considers the problem of automated ontology generation using articles from the Ukrainian Wikipedia, and geometry was taken as an example of the subject area. A system was built that collects data, analyzes it, and forms an ontology from it.en_US
dc.description.abstractУ статті представлено систему, яка здатна генерувати нові онтології або доповнювати наявні на основі статей українською мовою. Описано онтології та алгоритм, який доречний для використання у автоматизованому виокремленні концептів із текстів природною мовою.uk_UA
dc.identifier.citationЖежерун О. П. Автоматична генерація онтологій на основі статей українською мовою / Жежерун О. П., Рєпкін М. С. // Наукові записки НаУКМА. Комп'ютерні науки. - 2022. - Т. 5. - С. 12-15. - https://doi.org/10.18523/2617-3808.2022.5.12-15uk_UA
dc.identifier.issn2617-3808
dc.identifier.issn2617-7323
dc.identifier.urihttps://doi.org/10.18523/2617-3808.2022.5.12-15
dc.identifier.urihttps://ekmair.ukma.edu.ua/handle/123456789/24874
dc.language.isouk
dc.relation.sourceНаукові записки НаУКМА. Комп'ютерні наукиuk_UA
dc.statusfirst publisheden_US
dc.subjectontology engineeringuk_UA
dc.subjectбаза знаньuk_UA
dc.subjectонтологіяuk_UA
dc.subjectProtégéuk_UA
dc.subjectаналіз природної мовиuk_UA
dc.subjectаналіз української мовиuk_UA
dc.subjectстаттяuk_UA
dc.subjectontology engineeringen_US
dc.subjectknowledge baseen_US
dc.subjectontologyen_US
dc.subjectProtégéen_US
dc.subjectnatural language analysisen_US
dc.subjectUkrainian language analysisen_US
dc.titleАвтоматична генерація онтологій на основі статей українською мовоюuk_UA
dc.title.alternativeAutomatic generation of ontologies based on articles written in Ukrainian languageen_US
dc.typeArticleen_US
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Том 5
Кафедра мультимедійних систем